A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals

Zhao, Wei, Zhao, Wenbing, Wang, Wenfeng, Jiang, Xiaolu, Zhang, Xiaodong, Peng, Yonghong, Zhang, Baocan and Zhang, Guokai (2020) A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals. Computational and Mathematical Methods in Medicine, 2020. pp. 1-9. ISSN 1748-6718

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Abstract

The detection of recorded epileptic seizure activity in electroencephalogram (EEG) segments is crucial for the classification of seizures. Manual recognition is a time-consuming and laborious process that places a heavy burden on neurologists, and hence, the automatic identification of epilepsy has become an important issue. Traditional EEG recognition models largely depend on artificial experience and are of weak generalization ability. To break these limitations, we propose a novel one-dimensional deep neural network for robust detection of seizures, which composes of three convolutional blocks and three fully connected layers. Thereinto, each convolutional block consists of five types of layers: convolutional layer, batch normalization layer, nonlinear activation layer, dropout layer, and max-pooling layer. Model performance is evaluated on the University of Bonn dataset, which achieves the accuracy of 97.63%∼99.52% in the two-class classification problem, 96.73%∼98.06% in the three-class EEG classification problem, and 93.55% in classifying the complicated five-class problem.

Item Type: Article
Additional Information: ** From Crossref via Jisc Publications Router ** History: ppub 07-04-2020; issued 07-04-2020.
Uncontrolled Keywords: General Biochemistry, Genetics and Molecular Biology, Modelling and Simulation, General Immunology and Microbiology, Applied Mathematics, General Medicine
Divisions: Faculty of Technology > School of Computer Science
SWORD Depositor: Publication Router
Depositing User: Publication Router
Date Deposited: 26 May 2020 18:36
Last Modified: 26 May 2020 18:36
URI: http://sure.sunderland.ac.uk/id/eprint/11929
ORCID for Wei Zhao: ORCID iD orcid.org/0000-0002-6814-1526
ORCID for Wenbing Zhao: ORCID iD orcid.org/0000-0002-3202-1127
ORCID for Wenfeng Wang: ORCID iD orcid.org/0000-0001-7709-3143
ORCID for Xiaolu Jiang: ORCID iD orcid.org/0000-0002-9290-284X
ORCID for Xiaodong Zhang: ORCID iD orcid.org/0000-0002-0877-1964
ORCID for Yonghong Peng: ORCID iD orcid.org/0000-0002-5508-1819
ORCID for Guokai Zhang: ORCID iD orcid.org/0000-0002-0952-8325

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